Career Opportunities

TITLE OF POST: PhD Opportunity in Machine Learning for Driver Assistance
LOCATION: University of Limerick, Limerick, Ireland

Supervisors
Dr. Ciarán Eising
Dr. Pepijn Van De Ven

DESCRIPTION
The Data-driven Intelligent Computational Engineering (D2ICE) Group at the UL Dept of Electronic and Computer Engineering, in collaboration with Provizio and Lero, the SFI Research Centre for Software, are seeking a PhD candidate to work on an exciting project in the application of machine learning in radar and visual sensing for the prevention of road accidents. Given the wealth of information that is potentially available in radar-fusion sensing, there is a strong potential for machine learning algorithms to provide recognition, tracking, and prediction tasks for driver assistance and automated driving systems. For example, the position and trajectory of a pedestrian, vehicle or cyclist can be tracked and predicted, enabling a safer reaction of the host vehicle.

The project will be in collaboration with Provizio, who are headquartered in Limerick City. The Provizio team is made up of experts in robotics, artificial intelligence, computer vision and radar sensor development and are building an augmented, ‘guardian angel’ platform that could prevent road accidents. The candidate will work on AI solutions for automotive accident prevention using Provizio 5D radars with AI on-the-edge.

The successful candidate will work within the Data-driven Intelligent Computational Engineering Group in UL, under the supervision of Dr. Ciarán Eising (link, link) and Dr. Pepijn Van De Ven (link). This is a dynamic group of like-minded researchers investigating many applications of machine learning and computer vision, in areas such as automotive, robotics, medical, health and municipal, among others. The post is available on the 1st of January 2022 (or as soon as possible after that date). Funding will be provided, including stipend and fees, for a period of 4 years. The ideal candidate will have a Bachelor’s (BE/BSc) or a Master’s (ME/MSc) Degree in Electronic Engineering, Computer Engineering, Computer Science, Computational Mathematics, or a related numerate discipline.

Full Details
Full Details are available here

The Munster technology university- Tralee has established a world-class research centre in the area of Intelligent Mechatronics and Radio-frequency identification (RFID), i.e. The Intelligent Mechatronics and RFID Centre [The IMaR Centre].

The principal theme of the IMaR Research Centre is the synergy between mechatronics, Sensors, RFID, Internet of Things (IoT) and Data Analytics for industrial applications driven by new technology, innovation and global demand. IMaR consists of two research strands Intelligent Mechatronics and Industrial IoT & Data Analytics both focused on the delivery of a wide range of automation, identification and manufacturing services. The overall mission of the IMaR Centre is to be industries partner of choice for the provision of innovative applied research. The IMaR Centre will serve a cross section of industries including Automotive, Telecommunications, Pharmaceutical, Production / Manufacturing, Retail, Aeronautical, Environmental, healthcare and Agri-business.

The centre is core funded by Enterprise Ireland and houses state-of-the-art research facilities. The overall mission of the IMaR Centre is to be industries partner of choice for the provision of innovative applied research. The IMaR Centre will serve a cross section of industries including Automotive, Telecommunications, Pharmaceutical, Production / Manufacturing, Aeronautical, Environmental, healthcare and Agri-business. IMaR is also a member of Lero:- The Irish software research centre and CONFIRM – Smart Manufacturing Research Centre.

Position: We are looking for a highly motivated, PhD student to join the research team at IMaR. The successful candidate will collaboratively work and contribute to a cutting-edge research project in vision systems and sensor fusion for AgriTech domain.

Minimum Qualification

• Degree in Computer Science/ Engineering or equivalent
• MSc desirable

Job Requirements/ Experience/ Skills
We are particularly seeking a person who possesses the following attributes/ skills:

• Good programming skills are mandatory
• Hands on experience in C/C++ or python
• Hand on experience in vision systems or sensor fusion.
• Knowledge in Machine learning
• Good organizational skills and Team player.
• Exposure to modern development technologies, frameworks & patterns.
• Experience and the discipline of working within a fast-paced test-driven environment.

Desirable Skills

• Industry experience in vision systems will be a bonus.
• Knowledge of Agriculture and especially Dairying.
• Working knowledge of manufacturing processes & instrumentation.
• Be imaginative and persistent and have the ability to communicate clearly.
• Be logical and technically minded and possesses strong problem-solving skills.
• Excellent interpersonal, teamwork and communication skills (both verbal and written).
• Ability to work on own initiative, in a fast-paced environment with attention to detail.
• Excellent analytical and problem-solving skills, an ability to understand complex problems and generate appropriate pragmatic technical solutions.
• Constantly promote awareness of best industry practices, providing company training as required.
• Energetic and eager to learn and implement new technologies when required.
• Focused on keeping your knowledge up to date.

Duration of Contract

• 2 + 1 years

Funding

• The funding is approved around 24,000 euro per annum( fees + stipend)
• All the resources required for the project.

Application Procedure

All applications must be made online at www.ittralee.ie

Informal Enquiries

Informal enquiries ONLY may be addressed to Anshul Awasthi, email: anshul.awasthi@staff.ittralee.ie

The Regulated Software Research Centre (RSRC) at Dundalk Institute of Technology has an exciting opportunity for a highly motivated and ambitious Postdoctoral Researcher. The recruited candidate will have the opportunity to pursue their own research interests (within the scope of the RSRC remit), develop their career as an independent researcher and pursue external funding to build a research team. The purpose of this role is to enhance the research and supervisory capacity within the RSRC and to support the research ambitions of an experienced postdoctoral researcher in their pursuit of research independence.

This is an excellent opportunity for a highly motivated researcher to work towards research independence. The successful candidate will be expected to show a high degree of innovation and enthusiasm to bring their own expertise and concepts into the RSRC. As a member of this exciting team, the recruited candidate will collaborate with RSRC members to extend the reach and remit of the centre.

Apply through the DkIT Website before 12:00 on 11th June:
https://www.irishjobs.ie/Jobs/Post-Doctorate-Researcher-for-the-8616277.aspx

Informal enquire should be sent to roisin.loughran@dkit.ie

TITLE OF POST: Post Doctoral Researcher in Science, Technology, Engineering, Mathematics, Manufacturing and Design (STEM2D) Interventions (2 positions)
LOCATION: University of Limerick
REPORTS TO: Project Leader
CONTRACT TYPE: Specific Purpose
SALARY SCALE: €38,632 – €50,029 p.a. pro rata

JOB DESCRIPTION

Qualifications
A doctoral degree (level 10 NFQ) in software engineering, computer science, education or social science, or relevant discipline (candidates awaiting graduation will be eligible for application).

Overall purpose of the job
The purpose of this job is to implement the Women in Science, Technology, Engineering, Mathematics, Manufacturing and Design (WiSTEM²D) programme at the University of Limerick and to conduct research on the availability and success of STEM2D subjects and interventions.

In collaboration with the project team in the partner company, Johnson & Johnson, the successful candidate will (a) implement the WISTEM2D program in UL; (b) design, implement and analyse empirical qualitative and quantitative research on the availability and success of STEM2D subjects and interventions; (c) write relevant reports for the partner company and (d) publish results.

One of the successful candidates will also lead the implementation of the WISTEM2D program in UL.

Full Details
Full Details are available on the University of Limerick HR website: ul.ie/hrvacancies/

TITLE OF POST: PhD Position: Ethics and Trustworthiness of Algorithmic Decision making Systems in the Public Sector
LOCATION: Dublin City University, Dublin, Ireland

BACKGROUND
Lero, the Science Foundation Ireland Research Centre for Software, brings together expert software teams from universities and institutes of technology across Ireland in a co-ordinated centre of research excellence with a strong industry focus. Lero’s research spans a wide range of application domains from driverless cars to artificial intelligence, cybersecurity, fintech, govtech, smart communities, agtech and healthtech. Lero’s overall vision is to establish Ireland as a location synonymous with high-quality software research and development, to the extent that ‘Irish software’can enter the lexicon in the same way as ‘German automotive’ or ‘Scandinavian design’. Since it was founded in 2005, Lero has become one of the best-known, and most highly regarded, software research centres in the world.

RESEARCH CONTEXT
Algorithmic Decision-making Systems (ADS) are increasingly pervasive and are revolutionising services across different industries and the public sector. The challenges and issues associated with ADS deployment in high stake contexts are increasingly discussed in scholarly outlets. These include the need to increase efficiency, reduce potential harm, as well as promote fairness, equity, accountability and transparency in decision making. Understanding how trust in ADS can be generated so as to increase more broad-based adoption is an issue of interest to scholars and practitioners alike. It is particularly important in relation to the public sector, as ADS may actually entrench, amplify and even obscure human bias and discrimination in decision processes -something that underpins public concerns and reduces trust.

PhD OBJECTIVE
The goal of this PhD thesis is to investigate the trust-related factors that influence acceptance and adoption of ADS within different public sector situational contexts. It will provide important insights into the dynamics of trust generation in ADS and will contribute theoretical and conceptual foundations that support development of ethical ADS in public sector contexts.

Full Details
Full Details are available here

TITLE OF POST: PhD Position: Ethics and Trustworthiness of Artificial Intelligence-Enabled Systems in the Public Sector
LOCATION: Dublin City University, Dublin, Ireland

BACKGROUND
Lero, the Science Foundation Ireland Research Centre for Software, brings together expert software teams from universities and institutes of technology across Ireland in a co-ordinated centre of research excellence with a strong industry focus. Lero’s research spans a wide range of application domains from driverless cars to artificial intelligence, cybersecurity, fintech, govtech, smart communities, agtech and healthtech. Lero’s overall vision is to establish Ireland as a location synonymous with high-quality software research and development, to the extent that ‘Irish software’ can enter the lexicon in the same way as ‘German automotive’ or ‘Scandinavian design’. Since it was founded in 2005, Lero has become one of the best-known, and most highly regarded, software research centres in the world.

RESEARCH CONTEXT
Artificial Intelligence-Enabled Systems (AIES) are increasingly pervasive and revolutionising services across different industries. The challenges and issues associated with AIES deployment in high stake contexts are increasingly discussed in scholarly outlets to increase efficiency, reduce potential harm, as well as promote fairness, equity, accountability and transparency in decision making [1]. Particularly, in the public sector, AIES may actually entrench, amplify and even obscure human bias and discrimination in decision processes [2]—something that underpins public concerns [3]. However, to date, neither theoretical models nor fit-for-purpose AIES process models exist to guide the development of ethical and trustworthy AIES.

PhD OBJECTIVE
The goal of the PhD thesis is to examine how the development, test, and validation of fit-for-purpose AIES in the public sector could be evaluated from a multidisciplinary perspective to provide insights into their ethics and trustworthiness for different AIES stakeholders (e.g., the adopting organisations, end-users/the public, regulators, auditor)

Full Details
Full Details are available here